Relatório de Análise de Dados

Dataset statistics

Number of variables	16
Number of observations	1000
Missing cells	427
Missing cells (%)	2.7%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	1.0 MiB
Average record size in memory	1.0 KiB

Variable types

URL	1
Text	11
Categorical	1
Numeric	3

Alerts

`Certificate` has 101 (10.1%) missing values	Missing
`Meta_score` has 157 (15.7%) missing values	Missing
`Gross` has 169 (16.9%) missing values	Missing
`Poster_Link` has unique values	Unique
`Overview` has unique values	Unique

Reproduction

Analysis started	2025-03-11 00:30:22.918167
Analysis finished	2025-03-11 00:30:24.442941
Duration	1.52 second
Software version	ydata-profiling vv4.13.0
Download configuration	config.json

Poster_Link
URL

Unique

Distinct	1000
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	181.4 KiB

https://m.media-amazon.com/images/M/MV5BMTY5ODAzMTcwOF5BMl5BanBnXkFtZTcwMzYxNDYyNA@@._V1_UX67_CR0,0,67,98_AL_.jpg	1
https://m.media-amazon.com/images/M/MV5BMDFkYTc0MGEtZmNhMC00ZDIzLWFmNTEtODM1ZmRlYWMwMWFmXkEyXkFqcGdeQXVyMTMxODk2OTU@._V1_UX67_CR0,0,67,98_AL_.jpg	1
https://m.media-amazon.com/images/M/MV5BM2MyNjYxNmUtYTAwNi00MTYxLWJmNWYtYzZlODY3ZTk3OTFlXkEyXkFqcGdeQXVyNzkwMjQ5NzM@._V1_UY98_CR1,0,67,98_AL_.jpg	1
https://m.media-amazon.com/images/M/MV5BMTMxNTMwODM0NF5BMl5BanBnXkFtZTcwODAyMTk2Mw@@._V1_UX67_CR0,0,67,98_AL_.jpg	1
https://m.media-amazon.com/images/M/MV5BMWMwMGQzZTItY2JlNC00OWZiLWIyMDctNDk2ZDQ2YjRjMWQ0XkEyXkFqcGdeQXVyNzkwMjQ5NzM@._V1_UY98_CR1,0,67,98_AL_.jpg	1
Other values (995)	995

Value	Count	Frequency (%)
https://m.media-amazon.com/images/M/MV5BMTY5ODAzMTcwOF5BMl5BanBnXkFtZTcwMzYxNDYyNA@@._V1_UX67_CR0,0,67,98_AL_.jpg	1	0.1%
https://m.media-amazon.com/images/M/MV5BMDFkYTc0MGEtZmNhMC00ZDIzLWFmNTEtODM1ZmRlYWMwMWFmXkEyXkFqcGdeQXVyMTMxODk2OTU@._V1_UX67_CR0,0,67,98_AL_.jpg	1	0.1%
https://m.media-amazon.com/images/M/MV5BM2MyNjYxNmUtYTAwNi00MTYxLWJmNWYtYzZlODY3ZTk3OTFlXkEyXkFqcGdeQXVyNzkwMjQ5NzM@._V1_UY98_CR1,0,67,98_AL_.jpg	1	0.1%
https://m.media-amazon.com/images/M/MV5BMTMxNTMwODM0NF5BMl5BanBnXkFtZTcwODAyMTk2Mw@@._V1_UX67_CR0,0,67,98_AL_.jpg	1	0.1%
https://m.media-amazon.com/images/M/MV5BMWMwMGQzZTItY2JlNC00OWZiLWIyMDctNDk2ZDQ2YjRjMWQ0XkEyXkFqcGdeQXVyNzkwMjQ5NzM@._V1_UY98_CR1,0,67,98_AL_.jpg	1	0.1%
https://m.media-amazon.com/images/M/MV5BMWU4N2FjNzYtNTVkNC00NzQ0LTg0MjAtYTJlMjFhNGUxZDFmXkEyXkFqcGdeQXVyNjc1NTYyMjg@._V1_UX67_CR0,0,67,98_AL_.jpg	1	0.1%
https://m.media-amazon.com/images/M/MV5BNzA5ZDNlZWMtM2NhNS00NDJjLTk4NDItYTRmY2EwMWZlMTY3XkEyXkFqcGdeQXVyNzkwMjQ5NzM@._V1_UX67_CR0,0,67,98_AL_.jpg	1	0.1%
https://m.media-amazon.com/images/M/MV5BNGNhMDIzZTUtNTBlZi00MTRlLWFjM2ItYzViMjE3YzI5MjljXkEyXkFqcGdeQXVyNzkwMjQ5NzM@._V1_UY98_CR0,0,67,98_AL_.jpg	1	0.1%
https://m.media-amazon.com/images/M/MV5BYTU2MWRiMTMtYzAzZi00NGYzLTlkMDEtNWQ3MzZlNTJlNzZkL2ltYWdlL2ltYWdlXkEyXkFqcGdeQXVyNjc1NTYyMjg@._V1_UX67_CR0,0,67,98_AL_.jpg	1	0.1%
https://m.media-amazon.com/images/M/MV5BN2VlNjNhZWQtMTY2OC00Y2E1LWJkNGUtMDU4M2ViNzliMGYwXkEyXkFqcGdeQXVyNTAyODkwOQ@@._V1_UX67_CR0,0,67,98_AL_.jpg	1	0.1%
Other values (990)	990	99.0%

Value	Count	Frequency (%)
https	1000	100.0%

Value	Count	Frequency (%)
m.media-amazon.com	1000	100.0%

Value	Count	Frequency (%)
/images/M/MV5BMTY5ODAzMTcwOF5BMl5BanBnXkFtZTcwMzYxNDYyNA@@._V1_UX67_CR0,0,67,98_AL_.jpg	1	0.1%
/images/M/MV5BMDFkYTc0MGEtZmNhMC00ZDIzLWFmNTEtODM1ZmRlYWMwMWFmXkEyXkFqcGdeQXVyMTMxODk2OTU@._V1_UX67_CR0,0,67,98_AL_.jpg	1	0.1%
/images/M/MV5BM2MyNjYxNmUtYTAwNi00MTYxLWJmNWYtYzZlODY3ZTk3OTFlXkEyXkFqcGdeQXVyNzkwMjQ5NzM@._V1_UY98_CR1,0,67,98_AL_.jpg	1	0.1%
/images/M/MV5BMTMxNTMwODM0NF5BMl5BanBnXkFtZTcwODAyMTk2Mw@@._V1_UX67_CR0,0,67,98_AL_.jpg	1	0.1%
/images/M/MV5BMWMwMGQzZTItY2JlNC00OWZiLWIyMDctNDk2ZDQ2YjRjMWQ0XkEyXkFqcGdeQXVyNzkwMjQ5NzM@._V1_UY98_CR1,0,67,98_AL_.jpg	1	0.1%
/images/M/MV5BMWU4N2FjNzYtNTVkNC00NzQ0LTg0MjAtYTJlMjFhNGUxZDFmXkEyXkFqcGdeQXVyNjc1NTYyMjg@._V1_UX67_CR0,0,67,98_AL_.jpg	1	0.1%
/images/M/MV5BNzA5ZDNlZWMtM2NhNS00NDJjLTk4NDItYTRmY2EwMWZlMTY3XkEyXkFqcGdeQXVyNzkwMjQ5NzM@._V1_UX67_CR0,0,67,98_AL_.jpg	1	0.1%
/images/M/MV5BNGNhMDIzZTUtNTBlZi00MTRlLWFjM2ItYzViMjE3YzI5MjljXkEyXkFqcGdeQXVyNzkwMjQ5NzM@._V1_UY98_CR0,0,67,98_AL_.jpg	1	0.1%
/images/M/MV5BYTU2MWRiMTMtYzAzZi00NGYzLTlkMDEtNWQ3MzZlNTJlNzZkL2ltYWdlL2ltYWdlXkEyXkFqcGdeQXVyNjc1NTYyMjg@._V1_UX67_CR0,0,67,98_AL_.jpg	1	0.1%
/images/M/MV5BN2VlNjNhZWQtMTY2OC00Y2E1LWJkNGUtMDU4M2ViNzliMGYwXkEyXkFqcGdeQXVyNTAyODkwOQ@@._V1_UX67_CR0,0,67,98_AL_.jpg	1	0.1%
Other values (990)	990	99.0%

Value	Count	Frequency (%)
	1000	100.0%

Value	Count	Frequency (%)
	1000	100.0%

Series_Title
Text

Distinct	999
Distinct (%)	99.9%
Missing	0
Missing (%)	0.0%
Memory size	64.9 KiB

Length

Max length	68
Median length	41
Mean length	15.452
Min length	2

Characters and Unicode

Total characters	15452
Distinct characters	100
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	998 ?
Unique (%)	99.8%

Sample

1st row	The Shawshank Redemption
2nd row	The Godfather
3rd row	The Dark Knight
4th row	The Godfather: Part II
5th row	12 Angry Men

Value	Count	Frequency (%)
the	275	9.9%
of	86	3.1%
a	32	1.1%
and	28	1.0%
no	24	0.9%
la	23	0.8%
in	22	0.8%
to	18	0.6%
man	17	0.6%
de	17	0.6%
Other values (1666)	2243	80.5%

Most occurring characters

Value	Count	Frequency (%)
	1785	11.6%
e	1428	9.2%
a	1128	7.3%
o	966	6.3%
n	923	6.0%
i	862	5.6%
r	816	5.3%
t	756	4.9%
h	567	3.7%
s	563	3.6%
Other values (90)	5658	36.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	15452	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	1785	11.6%
e	1428	9.2%
a	1128	7.3%
o	966	6.3%
n	923	6.0%
i	862	5.6%
r	816	5.3%
t	756	4.9%
h	567	3.7%
s	563	3.6%
Other values (90)	5658	36.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	15452	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	1785	11.6%
e	1428	9.2%
a	1128	7.3%
o	966	6.3%
n	923	6.0%
i	862	5.6%
r	816	5.3%
t	756	4.9%
h	567	3.7%
s	563	3.6%
Other values (90)	5658	36.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	15452	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	1785	11.6%
e	1428	9.2%
a	1128	7.3%
o	966	6.3%
n	923	6.0%
i	862	5.6%
r	816	5.3%
t	756	4.9%
h	567	3.7%
s	563	3.6%
Other values (90)	5658	36.6%

Released_Year
Text

Distinct	100
Distinct (%)	10.0%
Missing	0
Missing (%)	0.0%
Memory size	51.9 KiB

Length

Max length	4
Median length	4
Mean length	3.998
Min length	2

Characters and Unicode

Total characters	3998
Distinct characters	12
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	10 ?
Unique (%)	1.0%

Sample

1st row	1994
2nd row	1972
3rd row	2008
4th row	1974
5th row	1957

Value	Count	Frequency (%)
2014	32	3.2%
2004	31	3.1%
2009	29	2.9%
2013	28	2.8%
2016	28	2.8%
2001	27	2.7%
2006	26	2.6%
2007	26	2.6%
2015	25	2.5%
2012	24	2.4%
Other values (90)	724	72.4%

Most occurring characters

Value	Count	Frequency (%)
1	842	21.1%
0	814	20.4%
9	774	19.4%
2	599	15.0%
8	187	4.7%
7	182	4.6%
6	172	4.3%
5	152	3.8%
4	146	3.7%
3	128	3.2%
Other values (2)	2	0.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	3998	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
1	842	21.1%
0	814	20.4%
9	774	19.4%
2	599	15.0%
8	187	4.7%
7	182	4.6%
6	172	4.3%
5	152	3.8%
4	146	3.7%
3	128	3.2%
Other values (2)	2	0.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	3998	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
1	842	21.1%
0	814	20.4%
9	774	19.4%
2	599	15.0%
8	187	4.7%
7	182	4.6%
6	172	4.3%
5	152	3.8%
4	146	3.7%
3	128	3.2%
Other values (2)	2	0.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	3998	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
1	842	21.1%
0	814	20.4%
9	774	19.4%
2	599	15.0%
8	187	4.7%
7	182	4.6%
6	172	4.3%
5	152	3.8%
4	146	3.7%
3	128	3.2%
Other values (2)	2	0.1%

Certificate
Categorical

Missing

Distinct	16
Distinct (%)	1.8%
Missing	101
Missing (%)	10.1%
Memory size	50.2 KiB

U	234
A	197
UA	175
R	146
PG-13	43
Other values (11)	104

Length

Max length	8
Median length	1
Mean length	1.7363737
Min length	1

Characters and Unicode

Total characters	1561
Distinct characters	24
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	5 ?
Unique (%)	0.6%

Sample

1st row	A
2nd row	A
3rd row	UA
4th row	A
5th row	U

Common Values

Value	Count	Frequency (%)
U	234	23.4%
A	197	19.7%
UA	175	17.5%
R	146	14.6%
PG-13	43	4.3%
PG	37	3.7%
Passed	34	3.4%
G	12	1.2%
Approved	11	1.1%
TV-PG	3	0.3%
Other values (6)	7	0.7%
(Missing)	101	10.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
u	234	26.0%
a	197	21.9%
ua	175	19.5%
r	146	16.2%
pg-13	43	4.8%
pg	37	4.1%
passed	34	3.8%
g	12	1.3%
approved	11	1.2%
tv-pg	3	0.3%
Other values (6)	7	0.8%

Most occurring characters

Value	Count	Frequency (%)
U	411	26.3%
A	385	24.7%
R	146	9.4%
P	119	7.6%
G	97	6.2%
s	68	4.4%
-	48	3.1%
e	46	2.9%
d	46	2.9%
1	45	2.9%
Other values (14)	150	9.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1561	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
U	411	26.3%
A	385	24.7%
R	146	9.4%
P	119	7.6%
G	97	6.2%
s	68	4.4%
-	48	3.1%
e	46	2.9%
d	46	2.9%
1	45	2.9%
Other values (14)	150	9.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1561	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
U	411	26.3%
A	385	24.7%
R	146	9.4%
P	119	7.6%
G	97	6.2%
s	68	4.4%
-	48	3.1%
e	46	2.9%
d	46	2.9%
1	45	2.9%
Other values (14)	150	9.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1561	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
U	411	26.3%
A	385	24.7%
R	146	9.4%
P	119	7.6%
G	97	6.2%
s	68	4.4%
-	48	3.1%
e	46	2.9%
d	46	2.9%
1	45	2.9%
Other values (14)	150	9.6%

Runtime
Text

Distinct	140
Distinct (%)	14.0%
Missing	0
Missing (%)	0.0%
Memory size	54.6 KiB

Length

Max length	7
Median length	7
Mean length	6.815
Min length	6

Characters and Unicode

Total characters	6815
Distinct characters	14
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	35 ?
Unique (%)	3.5%

Sample

1st row	142 min
2nd row	175 min
3rd row	152 min
4th row	202 min
5th row	96 min

Value	Count	Frequency (%)
min	1000	50.0%
100	23	1.1%
130	23	1.1%
129	22	1.1%
101	22	1.1%
113	22	1.1%
110	20	1.0%
122	20	1.0%
108	19	0.9%
102	18	0.9%
Other values (131)	811	40.6%

Most occurring characters

Value	Count	Frequency (%)
1	1047	15.4%
	1000	14.7%
i	1000	14.7%
m	1000	14.7%
n	1000	14.7%
0	305	4.5%
2	278	4.1%
9	224	3.3%
3	219	3.2%
8	172	2.5%
Other values (4)	570	8.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	6815	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
1	1047	15.4%
	1000	14.7%
i	1000	14.7%
m	1000	14.7%
n	1000	14.7%
0	305	4.5%
2	278	4.1%
9	224	3.3%
3	219	3.2%
8	172	2.5%
Other values (4)	570	8.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	6815	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
1	1047	15.4%
	1000	14.7%
i	1000	14.7%
m	1000	14.7%
n	1000	14.7%
0	305	4.5%
2	278	4.1%
9	224	3.3%
3	219	3.2%
8	172	2.5%
Other values (4)	570	8.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	6815	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
1	1047	15.4%
	1000	14.7%
i	1000	14.7%
m	1000	14.7%
n	1000	14.7%
0	305	4.5%
2	278	4.1%
9	224	3.3%
3	219	3.2%
8	172	2.5%
Other values (4)	570	8.4%

Genre
Text

Distinct	202
Distinct (%)	20.2%
Missing	0
Missing (%)	0.0%
Memory size	66.6 KiB

Length

Max length	29
Median length	24
Mean length	19.063
Min length	5

Characters and Unicode

Total characters	19063
Distinct characters	33
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	72 ?
Unique (%)	7.2%

Sample

1st row	Drama
2nd row	Crime, Drama
3rd row	Action, Crime, Drama
4th row	Crime, Drama
5th row	Crime, Drama

Value	Count	Frequency (%)
drama	724	28.5%
comedy	233	9.2%
crime	209	8.2%
adventure	196	7.7%
action	189	7.4%
thriller	137	5.4%
romance	125	4.9%
biography	109	4.3%
mystery	99	3.9%
animation	82	3.2%
Other values (11)	438	17.2%

Most occurring characters

Value	Count	Frequency (%)
a	2020	10.6%
r	1872	9.8%
,	1541	8.1%
	1541	8.1%
m	1448	7.6%
e	1235	6.5%
i	1144	6.0%
o	896	4.7%
n	760	4.0%
t	727	3.8%
Other values (23)	5879	30.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	19063	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
a	2020	10.6%
r	1872	9.8%
,	1541	8.1%
	1541	8.1%
m	1448	7.6%
e	1235	6.5%
i	1144	6.0%
o	896	4.7%
n	760	4.0%
t	727	3.8%
Other values (23)	5879	30.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	19063	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
a	2020	10.6%
r	1872	9.8%
,	1541	8.1%
	1541	8.1%
m	1448	7.6%
e	1235	6.5%
i	1144	6.0%
o	896	4.7%
n	760	4.0%
t	727	3.8%
Other values (23)	5879	30.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	19063	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
a	2020	10.6%
r	1872	9.8%
,	1541	8.1%
	1541	8.1%
m	1448	7.6%
e	1235	6.5%
i	1144	6.0%
o	896	4.7%
n	760	4.0%
t	727	3.8%
Other values (23)	5879	30.8%

IMDB_Rating
Real number (ℝ)

Distinct	17
Distinct (%)	1.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	7.9493

Minimum	7.6
Maximum	9.3
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	7.9 KiB

Quantile statistics

Minimum	7.6
5-th percentile	7.6
Q1	7.7
median	7.9
Q3	8.1
95-th percentile	8.5
Maximum	9.3
Range	1.7
Interquartile range (IQR)	0.4

Descriptive statistics

Standard deviation	0.27549121
Coefficient of variation (CV)	0.034656034
Kurtosis	1.432727
Mean	7.9493
Median Absolute Deviation (MAD)	0.2
Skewness	1.0169645
Sum	7949.3
Variance	0.075895405
Monotonicity	Decreasing

Histogram with fixed size bins (bins=17)

Value	Count	Frequency (%)
7.7	157	15.7%
7.8	151	15.1%
8	141	14.1%
8.1	127	12.7%
7.6	123	12.3%
7.9	106	10.6%
8.2	67	6.7%
8.3	44	4.4%
8.4	31	3.1%
8.5	20	2.0%
Other values (7)	33	3.3%

Value	Count	Frequency (%)
7.6	123	12.3%
7.7	157	15.7%
7.8	151	15.1%
7.9	106	10.6%
8	141	14.1%
8.1	127	12.7%
8.2	67	6.7%
8.3	44	4.4%
8.4	31	3.1%
8.5	20	2.0%

Value	Count	Frequency (%)
9.3	1	0.1%
9.2	1	0.1%
9	3	0.3%
8.9	3	0.3%
8.8	5	0.5%
8.7	5	0.5%
8.6	15	1.5%
8.5	20	2.0%
8.4	31	3.1%
8.3	44	4.4%

Overview
Text

Unique

Distinct	1000
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	193.6 KiB

Length

Max length	313
Median length	196.5
Mean length	146.255
Min length	40

Characters and Unicode

Total characters	146255
Distinct characters	86
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1000 ?
Unique (%)	100.0%

Sample

1st row	Two imprisoned men bond over a number of years, finding solace and eventual redemption through acts of common decency.
2nd row	An organized crime dynasty's aging patriarch transfers control of his clandestine empire to his reluctant son.
3rd row	When the menace known as the Joker wreaks havoc and chaos on the people of Gotham, Batman must accept one of the greatest psychological and physical tests of his ability to fight injustice.
4th row	The early life and career of Vito Corleone in 1920s New York City is portrayed, while his son, Michael, expands and tightens his grip on the family crime syndicate.
5th row	A jury holdout attempts to prevent a miscarriage of justice by forcing his colleagues to reconsider the evidence.

Value	Count	Frequency (%)
a	1610	6.4%
the	1206	4.8%
to	803	3.2%
of	779	3.1%
and	697	2.8%
in	565	2.3%
his	516	2.1%
an	291	1.2%
is	245	1.0%
with	242	1.0%
Other values (5880)	18049	72.2%

Most occurring characters

Value	Count	Frequency (%)
	24017	16.4%
e	13879	9.5%
a	9806	6.7%
t	9333	6.4%
i	8847	6.0%
n	8591	5.9%
o	8570	5.9%
r	8208	5.6%
s	7969	5.4%
h	5627	3.8%
Other values (76)	41408	28.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	146255	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	24017	16.4%
e	13879	9.5%
a	9806	6.7%
t	9333	6.4%
i	8847	6.0%
n	8591	5.9%
o	8570	5.9%
r	8208	5.6%
s	7969	5.4%
h	5627	3.8%
Other values (76)	41408	28.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	146255	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	24017	16.4%
e	13879	9.5%
a	9806	6.7%
t	9333	6.4%
i	8847	6.0%
n	8591	5.9%
o	8570	5.9%
r	8208	5.6%
s	7969	5.4%
h	5627	3.8%
Other values (76)	41408	28.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	146255	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	24017	16.4%
e	13879	9.5%
a	9806	6.7%
t	9333	6.4%
i	8847	6.0%
n	8591	5.9%
o	8570	5.9%
r	8208	5.6%
s	7969	5.4%
h	5627	3.8%
Other values (76)	41408	28.3%

Meta_score
Real number (ℝ)

Missing

Distinct	63
Distinct (%)	7.5%
Missing	157
Missing (%)	15.7%
Infinite	0
Infinite (%)	0.0%
Mean	77.97153

Minimum	28
Maximum	100
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	7.9 KiB

Quantile statistics

Minimum	28
5-th percentile	56
Q1	70
median	79
Q3	87
95-th percentile	96
Maximum	100
Range	72
Interquartile range (IQR)	17

Descriptive statistics

Standard deviation	12.376099
Coefficient of variation (CV)	0.15872587
Kurtosis	0.42083062
Mean	77.97153
Median Absolute Deviation (MAD)	8
Skewness	-0.60522483
Sum	65730
Variance	153.16783
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
76	32	3.2%
84	29	2.9%
90	29	2.9%
73	27	2.7%
85	27	2.7%
86	27	2.7%
80	27	2.7%
72	27	2.7%
81	26	2.6%
77	26	2.6%
Other values (53)	566	56.6%
(Missing)	157	15.7%

Value	Count	Frequency (%)
28	1	0.1%
30	1	0.1%
33	1	0.1%
36	1	0.1%
40	1	0.1%
41	1	0.1%
44	1	0.1%
45	3	0.3%
46	1	0.1%
47	4	0.4%

Value	Count	Frequency (%)
100	12	1.2%
99	4	0.4%
98	9	0.9%
97	12	1.2%
96	18	1.8%
95	11	1.1%
94	20	2.0%
93	14	1.4%
92	13	1.3%
91	19	1.9%

Director
Text

Distinct	548
Distinct (%)	54.8%
Missing	0
Missing (%)	0.0%
Memory size	62.6 KiB

Length

Max length	32
Median length	22
Mean length	13.486
Min length	7

Characters and Unicode

Total characters	13486
Distinct characters	69
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	352 ?
Unique (%)	35.2%

Sample

1st row	Frank Darabont
2nd row	Francis Ford Coppola
3rd row	Christopher Nolan
4th row	Francis Ford Coppola
5th row	Sidney Lumet

Value	Count	Frequency (%)
john	34	1.6%
david	28	1.4%
james	23	1.1%
robert	20	1.0%
martin	16	0.8%
richard	15	0.7%
lee	15	0.7%
stanley	14	0.7%
george	14	0.7%
alfred	14	0.7%
Other values (882)	1881	90.7%

Most occurring characters

Value	Count	Frequency (%)
e	1209	9.0%
a	1129	8.4%
	1074	8.0%
n	952	7.1%
r	919	6.8%
o	852	6.3%
i	834	6.2%
l	543	4.0%
s	497	3.7%
t	434	3.2%
Other values (59)	5043	37.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	13486	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	1209	9.0%
a	1129	8.4%
	1074	8.0%
n	952	7.1%
r	919	6.8%
o	852	6.3%
i	834	6.2%
l	543	4.0%
s	497	3.7%
t	434	3.2%
Other values (59)	5043	37.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	13486	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	1209	9.0%
a	1129	8.4%
	1074	8.0%
n	952	7.1%
r	919	6.8%
o	852	6.3%
i	834	6.2%
l	543	4.0%
s	497	3.7%
t	434	3.2%
Other values (59)	5043	37.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	13486	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	1209	9.0%
a	1129	8.4%
	1074	8.0%
n	952	7.1%
r	919	6.8%
o	852	6.3%
i	834	6.2%
l	543	4.0%
s	497	3.7%
t	434	3.2%
Other values (59)	5043	37.4%

Star1
Text

Distinct	660
Distinct (%)	66.0%
Missing	0
Missing (%)	0.0%
Memory size	62.2 KiB

Length

Max length	25
Median length	21
Mean length	13.003
Min length	4

Characters and Unicode

Total characters	13003
Distinct characters	72
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	503 ?
Unique (%)	50.3%

Sample

1st row	Tim Robbins
2nd row	Marlon Brando
3rd row	Christian Bale
4th row	Al Pacino
5th row	Henry Fonda

Value	Count	Frequency (%)
tom	22	1.1%
daniel	17	0.8%
robert	17	0.8%
john	16	0.8%
khan	16	0.8%
james	15	0.7%
hanks	12	0.6%
michael	12	0.6%
de	11	0.5%
al	11	0.5%
Other values (1113)	1900	92.7%

Most occurring characters

Value	Count	Frequency (%)
a	1239	9.5%
e	1088	8.4%
	1049	8.1%
n	952	7.3%
r	816	6.3%
i	796	6.1%
o	768	5.9%
l	590	4.5%
t	453	3.5%
s	439	3.4%
Other values (62)	4813	37.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	13003	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
a	1239	9.5%
e	1088	8.4%
	1049	8.1%
n	952	7.3%
r	816	6.3%
i	796	6.1%
o	768	5.9%
l	590	4.5%
t	453	3.5%
s	439	3.4%
Other values (62)	4813	37.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	13003	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
a	1239	9.5%
e	1088	8.4%
	1049	8.1%
n	952	7.3%
r	816	6.3%
i	796	6.1%
o	768	5.9%
l	590	4.5%
t	453	3.5%
s	439	3.4%
Other values (62)	4813	37.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	13003	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
a	1239	9.5%
e	1088	8.4%
	1049	8.1%
n	952	7.3%
r	816	6.3%
i	796	6.1%
o	768	5.9%
l	590	4.5%
t	453	3.5%
s	439	3.4%
Other values (62)	4813	37.0%

Star2
Text

Distinct	841
Distinct (%)	84.1%
Missing	0
Missing (%)	0.0%
Memory size	62.5 KiB

Length

Max length	25
Median length	22
Mean length	13.123
Min length	4

Characters and Unicode

Total characters	13123
Distinct characters	69
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	729 ?
Unique (%)	72.9%

Sample

1st row	Morgan Freeman
2nd row	Al Pacino
3rd row	Heath Ledger
4th row	Robert De Niro
5th row	Lee J. Cobb

Value	Count	Frequency (%)
john	21	1.0%
robert	16	0.8%
lee	13	0.6%
michael	13	0.6%
emma	10	0.5%
chris	9	0.4%
james	9	0.4%
jack	8	0.4%
tom	8	0.4%
george	8	0.4%
Other values (1389)	1942	94.4%

Most occurring characters

Value	Count	Frequency (%)
a	1321	10.1%
e	1182	9.0%
	1057	8.1%
n	951	7.2%
r	887	6.8%
i	785	6.0%
o	720	5.5%
l	579	4.4%
t	483	3.7%
s	432	3.3%
Other values (59)	4726	36.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	13123	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
a	1321	10.1%
e	1182	9.0%
	1057	8.1%
n	951	7.2%
r	887	6.8%
i	785	6.0%
o	720	5.5%
l	579	4.4%
t	483	3.7%
s	432	3.3%
Other values (59)	4726	36.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	13123	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
a	1321	10.1%
e	1182	9.0%
	1057	8.1%
n	951	7.2%
r	887	6.8%
i	785	6.0%
o	720	5.5%
l	579	4.4%
t	483	3.7%
s	432	3.3%
Other values (59)	4726	36.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	13123	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
a	1321	10.1%
e	1182	9.0%
	1057	8.1%
n	951	7.2%
r	887	6.8%
i	785	6.0%
o	720	5.5%
l	579	4.4%
t	483	3.7%
s	432	3.3%
Other values (59)	4726	36.0%

Star3
Text

Distinct	891
Distinct (%)	89.1%
Missing	0
Missing (%)	0.0%
Memory size	62.3 KiB

Length

Max length	27
Median length	21
Mean length	13.28
Min length	4

Characters and Unicode

Total characters	13280
Distinct characters	73
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	809 ?
Unique (%)	80.9%

Sample

1st row	Bob Gunton
2nd row	James Caan
3rd row	Aaron Eckhart
4th row	Robert Duvall
5th row	Martin Balsam

Value	Count	Frequency (%)
john	21	1.0%
robert	16	0.8%
michael	13	0.6%
richard	12	0.6%
christopher	9	0.4%
paul	8	0.4%
jack	8	0.4%
harris	7	0.3%
george	7	0.3%
rupert	7	0.3%
Other values (1462)	1953	94.8%

Most occurring characters

Value	Count	Frequency (%)
a	1290	9.7%
e	1152	8.7%
	1061	8.0%
n	927	7.0%
i	894	6.7%
r	864	6.5%
o	759	5.7%
l	626	4.7%
t	444	3.3%
s	423	3.2%
Other values (63)	4840	36.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	13280	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
a	1290	9.7%
e	1152	8.7%
	1061	8.0%
n	927	7.0%
i	894	6.7%
r	864	6.5%
o	759	5.7%
l	626	4.7%
t	444	3.3%
s	423	3.2%
Other values (63)	4840	36.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	13280	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
a	1290	9.7%
e	1152	8.7%
	1061	8.0%
n	927	7.0%
i	894	6.7%
r	864	6.5%
o	759	5.7%
l	626	4.7%
t	444	3.3%
s	423	3.2%
Other values (63)	4840	36.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	13280	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
a	1290	9.7%
e	1152	8.7%
	1061	8.0%
n	927	7.0%
i	894	6.7%
r	864	6.5%
o	759	5.7%
l	626	4.7%
t	444	3.3%
s	423	3.2%
Other values (63)	4840	36.4%

Star4
Text

Distinct	939
Distinct (%)	93.9%
Missing	0
Missing (%)	0.0%
Memory size	62.8 KiB

Length

Max length	27
Median length	23
Mean length	13.212
Min length	4

Characters and Unicode

Total characters	13212
Distinct characters	73
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	882 ?
Unique (%)	88.2%

Sample

1st row	William Sadler
2nd row	Diane Keaton
3rd row	Michael Caine
4th row	Diane Keaton
5th row	John Fiedler

Value	Count	Frequency (%)
john	25	1.2%
michael	15	0.7%
james	12	0.6%
richard	9	0.4%
lee	9	0.4%
bill	8	0.4%
mark	8	0.4%
kim	7	0.3%
charles	7	0.3%
martin	7	0.3%
Other values (1558)	1962	94.8%

Most occurring characters

Value	Count	Frequency (%)
a	1284	9.7%
e	1128	8.5%
	1069	8.1%
n	903	6.8%
r	902	6.8%
i	863	6.5%
o	710	5.4%
l	634	4.8%
s	445	3.4%
t	419	3.2%
Other values (63)	4855	36.7%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	13212	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
a	1284	9.7%
e	1128	8.5%
	1069	8.1%
n	903	6.8%
r	902	6.8%
i	863	6.5%
o	710	5.4%
l	634	4.8%
s	445	3.4%
t	419	3.2%
Other values (63)	4855	36.7%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	13212	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
a	1284	9.7%
e	1128	8.5%
	1069	8.1%
n	903	6.8%
r	902	6.8%
i	863	6.5%
o	710	5.4%
l	634	4.8%
s	445	3.4%
t	419	3.2%
Other values (63)	4855	36.7%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	13212	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
a	1284	9.7%
e	1128	8.5%
	1069	8.1%
n	903	6.8%
r	902	6.8%
i	863	6.5%
o	710	5.4%
l	634	4.8%
s	445	3.4%
t	419	3.2%
Other values (63)	4855	36.7%

No_of_Votes
Real number (ℝ)

Distinct	999
Distinct (%)	99.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	273692.91

Minimum	25088
Maximum	2343110
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	7.9 KiB

Quantile statistics

Minimum	25088
5-th percentile	29681
Q1	55526.25
median	138548.5
Q3	374161.25
95-th percentile	939631.65
Maximum	2343110
Range	2318022
Interquartile range (IQR)	318635

Descriptive statistics

Standard deviation	327372.7
Coefficient of variation (CV)	1.1961315
Kurtosis	6.8950993
Mean	273692.91
Median Absolute Deviation (MAD)	98663.5
Skewness	2.3000106
Sum	2.7369291 × 10⁸
Variance	1.0717289 × 10¹¹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
65341	2	0.2%
699256	1	0.1%
32802	1	0.1%
93878	1	0.1%
1213505	1	0.1%
51853	1	0.1%
2343110	1	0.1%
1620367	1	0.1%
1826188	1	0.1%
2067042	1	0.1%
Other values (989)	989	98.9%

Value	Count	Frequency (%)
25088	1	0.1%
25198	1	0.1%
25229	1	0.1%
25312	1	0.1%
25344	1	0.1%
25938	1	0.1%
26337	1	0.1%
26402	1	0.1%
26429	1	0.1%
26457	1	0.1%

Value	Count	Frequency (%)
2343110	1	0.1%
2303232	1	0.1%
2067042	1	0.1%
1854740	1	0.1%
1826188	1	0.1%
1809221	1	0.1%
1676426	1	0.1%
1661481	1	0.1%
1642758	1	0.1%
1620367	1	0.1%

Gross
Text

Missing

Distinct	823
Distinct (%)	99.0%
Missing	169
Missing (%)	16.9%
Memory size	52.9 KiB

Length

Max length	11
Median length	10
Mean length	9.5066185
Min length	5

Characters and Unicode

Total characters	7900
Distinct characters	11
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	818 ?
Unique (%)	98.4%

Sample

1st row	28,341,469
2nd row	134,966,411
3rd row	534,858,444
4th row	57,300,000
5th row	4,360,000

Value	Count	Frequency (%)
4,360,000	5	0.6%
5,321,508	2	0.2%
9,600,000	2	0.2%
5,450,000	2	0.2%
25,000,000	2	0.2%
96,898,818	1	0.1%
30,500,000	1	0.1%
216,540,909	1	0.1%
292,576,195	1	0.1%
28,341,469	1	0.1%
Other values (813)	813	97.8%

Most occurring characters

Value	Count	Frequency (%)
,	1545	19.6%
0	1117	14.1%
1	775	9.8%
2	677	8.6%
5	639	8.1%
3	597	7.6%
4	540	6.8%
6	528	6.7%
7	510	6.5%
8	509	6.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	7900	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
,	1545	19.6%
0	1117	14.1%
1	775	9.8%
2	677	8.6%
5	639	8.1%
3	597	7.6%
4	540	6.8%
6	528	6.7%
7	510	6.5%
8	509	6.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	7900	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
,	1545	19.6%
0	1117	14.1%
1	775	9.8%
2	677	8.6%
5	639	8.1%
3	597	7.6%
4	540	6.8%
6	528	6.7%
7	510	6.5%
8	509	6.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	7900	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
,	1545	19.6%
0	1117	14.1%
1	775	9.8%
2	677	8.6%
5	639	8.1%
3	597	7.6%
4	540	6.8%
6	528	6.7%
7	510	6.5%
8	509	6.4%

	Certificate	IMDB_Rating	Meta_score	No_of_Votes
Certificate	1.000	0.000	0.088	0.051
IMDB_Rating	0.000	1.000	0.285	0.214
Meta_score	0.088	0.285	1.000	-0.072
No_of_Votes	0.051	0.214	-0.072	1.000

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

	Poster_Link	Series_Title	Released_Year	Certificate	Runtime	Genre	IMDB_Rating	Overview	Meta_score	Director	Star1	Star2	Star3	Star4	No_of_Votes	Gross
0	https://m.media-amazon.com/images/M/MV5BMDFkYTc0MGEtZmNhMC00ZDIzLWFmNTEtODM1ZmRlYWMwMWFmXkEyXkFqcGdeQXVyMTMxODk2OTU@._V1_UX67_CR0,0,67,98_AL_.jpg	The Shawshank Redemption	1994	A	142 min	Drama	9.3	Two imprisoned men bond over a number of years, finding solace and eventual redemption through acts of common decency.	80.0	Frank Darabont	Tim Robbins	Morgan Freeman	Bob Gunton	William Sadler	2343110	28,341,469
1	https://m.media-amazon.com/images/M/MV5BM2MyNjYxNmUtYTAwNi00MTYxLWJmNWYtYzZlODY3ZTk3OTFlXkEyXkFqcGdeQXVyNzkwMjQ5NzM@._V1_UY98_CR1,0,67,98_AL_.jpg	The Godfather	1972	A	175 min	Crime, Drama	9.2	An organized crime dynasty's aging patriarch transfers control of his clandestine empire to his reluctant son.	100.0	Francis Ford Coppola	Marlon Brando	Al Pacino	James Caan	Diane Keaton	1620367	134,966,411
2	https://m.media-amazon.com/images/M/MV5BMTMxNTMwODM0NF5BMl5BanBnXkFtZTcwODAyMTk2Mw@@._V1_UX67_CR0,0,67,98_AL_.jpg	The Dark Knight	2008	UA	152 min	Action, Crime, Drama	9.0	When the menace known as the Joker wreaks havoc and chaos on the people of Gotham, Batman must accept one of the greatest psychological and physical tests of his ability to fight injustice.	84.0	Christopher Nolan	Christian Bale	Heath Ledger	Aaron Eckhart	Michael Caine	2303232	534,858,444
3	https://m.media-amazon.com/images/M/MV5BMWMwMGQzZTItY2JlNC00OWZiLWIyMDctNDk2ZDQ2YjRjMWQ0XkEyXkFqcGdeQXVyNzkwMjQ5NzM@._V1_UY98_CR1,0,67,98_AL_.jpg	The Godfather: Part II	1974	A	202 min	Crime, Drama	9.0	The early life and career of Vito Corleone in 1920s New York City is portrayed, while his son, Michael, expands and tightens his grip on the family crime syndicate.	90.0	Francis Ford Coppola	Al Pacino	Robert De Niro	Robert Duvall	Diane Keaton	1129952	57,300,000
4	https://m.media-amazon.com/images/M/MV5BMWU4N2FjNzYtNTVkNC00NzQ0LTg0MjAtYTJlMjFhNGUxZDFmXkEyXkFqcGdeQXVyNjc1NTYyMjg@._V1_UX67_CR0,0,67,98_AL_.jpg	12 Angry Men	1957	U	96 min	Crime, Drama	9.0	A jury holdout attempts to prevent a miscarriage of justice by forcing his colleagues to reconsider the evidence.	96.0	Sidney Lumet	Henry Fonda	Lee J. Cobb	Martin Balsam	John Fiedler	689845	4,360,000
5	https://m.media-amazon.com/images/M/MV5BNzA5ZDNlZWMtM2NhNS00NDJjLTk4NDItYTRmY2EwMWZlMTY3XkEyXkFqcGdeQXVyNzkwMjQ5NzM@._V1_UX67_CR0,0,67,98_AL_.jpg	The Lord of the Rings: The Return of the King	2003	U	201 min	Action, Adventure, Drama	8.9	Gandalf and Aragorn lead the World of Men against Sauron's army to draw his gaze from Frodo and Sam as they approach Mount Doom with the One Ring.	94.0	Peter Jackson	Elijah Wood	Viggo Mortensen	Ian McKellen	Orlando Bloom	1642758	377,845,905
6	https://m.media-amazon.com/images/M/MV5BNGNhMDIzZTUtNTBlZi00MTRlLWFjM2ItYzViMjE3YzI5MjljXkEyXkFqcGdeQXVyNzkwMjQ5NzM@._V1_UY98_CR0,0,67,98_AL_.jpg	Pulp Fiction	1994	A	154 min	Crime, Drama	8.9	The lives of two mob hitmen, a boxer, a gangster and his wife, and a pair of diner bandits intertwine in four tales of violence and redemption.	94.0	Quentin Tarantino	John Travolta	Uma Thurman	Samuel L. Jackson	Bruce Willis	1826188	107,928,762
7	https://m.media-amazon.com/images/M/MV5BNDE4OTMxMTctNmRhYy00NWE2LTg3YzItYTk3M2UwOTU5Njg4XkEyXkFqcGdeQXVyNjU0OTQ0OTY@._V1_UX67_CR0,0,67,98_AL_.jpg	Schindler's List	1993	A	195 min	Biography, Drama, History	8.9	In German-occupied Poland during World War II, industrialist Oskar Schindler gradually becomes concerned for his Jewish workforce after witnessing their persecution by the Nazis.	94.0	Steven Spielberg	Liam Neeson	Ralph Fiennes	Ben Kingsley	Caroline Goodall	1213505	96,898,818
8	https://m.media-amazon.com/images/M/MV5BMjAxMzY3NjcxNF5BMl5BanBnXkFtZTcwNTI5OTM0Mw@@._V1_UX67_CR0,0,67,98_AL_.jpg	Inception	2010	UA	148 min	Action, Adventure, Sci-Fi	8.8	A thief who steals corporate secrets through the use of dream-sharing technology is given the inverse task of planting an idea into the mind of a C.E.O.	74.0	Christopher Nolan	Leonardo DiCaprio	Joseph Gordon-Levitt	Elliot Page	Ken Watanabe	2067042	292,576,195
9	https://m.media-amazon.com/images/M/MV5BMmEzNTkxYjQtZTc0MC00YTVjLTg5ZTEtZWMwOWVlYzY0NWIwXkEyXkFqcGdeQXVyNzkwMjQ5NzM@._V1_UX67_CR0,0,67,98_AL_.jpg	Fight Club	1999	A	139 min	Drama	8.8	An insomniac office worker and a devil-may-care soapmaker form an underground fight club that evolves into something much, much more.	66.0	David Fincher	Brad Pitt	Edward Norton	Meat Loaf	Zach Grenier	1854740	37,030,102

	Poster_Link	Series_Title	Released_Year	Certificate	Runtime	Genre	IMDB_Rating	Overview	Meta_score	Director	Star1	Star2	Star3	Star4	No_of_Votes	Gross
990	https://m.media-amazon.com/images/M/MV5BYjRmY2VjN2ItMzBmYy00YTRjLWFiMTgtNGZhNWJjMjk3YjZjXkEyXkFqcGdeQXVyNjc1NTYyMjg@._V1_UX67_CR0,0,67,98_AL_.jpg	Giù la testa	1971	PG	157 min	Drama, War, Western	7.6	A low-life bandit and an I.R.A. explosives expert rebel against the government and become heroes of the Mexican Revolution.	77.0	Sergio Leone	Rod Steiger	James Coburn	Romolo Valli	Maria Monti	30144	696,690
991	https://m.media-amazon.com/images/M/MV5BMzAyNDUwYzUtN2NlMC00ODliLWExMjgtMGMzNmYzZmUwYTg1XkEyXkFqcGdeQXVyNjc1NTYyMjg@._V1_UX67_CR0,0,67,98_AL_.jpg	Kelly's Heroes	1970	GP	144 min	Adventure, Comedy, War	7.6	A group of U.S. soldiers sneaks across enemy lines to get their hands on a secret stash of Nazi treasure.	50.0	Brian G. Hutton	Clint Eastwood	Telly Savalas	Don Rickles	Carroll O'Connor	45338	1,378,435
992	https://m.media-amazon.com/images/M/MV5BMjAwMTExODExNl5BMl5BanBnXkFtZTgwMjM2MDgyMTE@._V1_UX67_CR0,0,67,98_AL_.jpg	The Jungle Book	1967	U	78 min	Animation, Adventure, Family	7.6	Bagheera the Panther and Baloo the Bear have a difficult time trying to convince a boy to leave the jungle for human civilization.	65.0	Wolfgang Reitherman	Phil Harris	Sebastian Cabot	Louis Prima	Bruce Reitherman	166409	141,843,612
993	https://m.media-amazon.com/images/M/MV5BYTE4YWU0NjAtMjNiYi00MTNiLTgwYzctZjk0YjY5NGVhNWQwXkEyXkFqcGdeQXVyMTY5Nzc4MDY@._V1_UY98_CR0,0,67,98_AL_.jpg	Blowup	1966	A	111 min	Drama, Mystery, Thriller	7.6	A fashion photographer unknowingly captures a death on film after following two lovers in a park.	82.0	Michelangelo Antonioni	David Hemmings	Vanessa Redgrave	Sarah Miles	John Castle	56513	NaN
994	https://m.media-amazon.com/images/M/MV5BZjQyMGUwNzAtNTc2MC00Y2FjLThlM2ItZGRjNzM0OWVmZGYyXkEyXkFqcGdeQXVyNjc1NTYyMjg@._V1_UX67_CR0,0,67,98_AL_.jpg	A Hard Day's Night	1964	U	87 min	Comedy, Music, Musical	7.6	Over two "typical" days in the life of The Beatles, the boys struggle to keep themselves and Sir Paul McCartney's mischievous grandfather in check while preparing for a live television performance.	96.0	Richard Lester	John Lennon	Paul McCartney	George Harrison	Ringo Starr	40351	13,780,024
995	https://m.media-amazon.com/images/M/MV5BNGEwMTRmZTQtMDY4Ni00MTliLTk5ZmMtOWMxYWMyMTllMDg0L2ltYWdlL2ltYWdlXkEyXkFqcGdeQXVyNjc1NTYyMjg@._V1_UX67_CR0,0,67,98_AL_.jpg	Breakfast at Tiffany's	1961	A	115 min	Comedy, Drama, Romance	7.6	A young New York socialite becomes interested in a young man who has moved into her apartment building, but her past threatens to get in the way.	76.0	Blake Edwards	Audrey Hepburn	George Peppard	Patricia Neal	Buddy Ebsen	166544	NaN
996	https://m.media-amazon.com/images/M/MV5BODk3YjdjZTItOGVhYi00Mjc2LTgzMDAtMThmYTVkNTBlMWVkXkEyXkFqcGdeQXVyNDY2MTk1ODk@._V1_UX67_CR0,0,67,98_AL_.jpg	Giant	1956	G	201 min	Drama, Western	7.6	Sprawling epic covering the life of a Texas cattle rancher and his family and associates.	84.0	George Stevens	Elizabeth Taylor	Rock Hudson	James Dean	Carroll Baker	34075	NaN
997	https://m.media-amazon.com/images/M/MV5BM2U3YzkxNGMtYWE0YS00ODk0LTk1ZGEtNjk3ZTE0MTk4MzJjXkEyXkFqcGdeQXVyNDk0MDg4NDk@._V1_UX67_CR0,0,67,98_AL_.jpg	From Here to Eternity	1953	Passed	118 min	Drama, Romance, War	7.6	In Hawaii in 1941, a private is cruelly punished for not boxing on his unit's team, while his captain's wife and second-in-command are falling in love.	85.0	Fred Zinnemann	Burt Lancaster	Montgomery Clift	Deborah Kerr	Donna Reed	43374	30,500,000
998	https://m.media-amazon.com/images/M/MV5BZTBmMjUyMjItYTM4ZS00MjAwLWEyOGYtYjMyZTUxN2I3OTMxXkEyXkFqcGdeQXVyNjc1NTYyMjg@._V1_UX67_CR0,0,67,98_AL_.jpg	Lifeboat	1944	NaN	97 min	Drama, War	7.6	Several survivors of a torpedoed merchant ship in World War II find themselves in the same lifeboat with one of the crew members of the U-boat that sank their ship.	78.0	Alfred Hitchcock	Tallulah Bankhead	John Hodiak	Walter Slezak	William Bendix	26471	NaN
999	https://m.media-amazon.com/images/M/MV5BMTY5ODAzMTcwOF5BMl5BanBnXkFtZTcwMzYxNDYyNA@@._V1_UX67_CR0,0,67,98_AL_.jpg	The 39 Steps	1935	NaN	86 min	Crime, Mystery, Thriller	7.6	A man in London tries to help a counter-espionage Agent. But when the Agent is killed, and the man stands accused, he must go on the run to save himself and stop a spy ring which is trying to steal top secret information.	93.0	Alfred Hitchcock	Robert Donat	Madeleine Carroll	Lucie Mannheim	Godfrey Tearle	51853	NaN

Overview

Variables

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script